paper-operators
paper-operators is an Image generation & prompting skill for AI agents, published by Alexsun1one in the paper-operators repository on GitHub. Skillspace rates paper-operators D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Generate or plan publish-grade 16:9 article illustrations using folded-paper action characters, with Chinese-first article/body-image workflows. Use when a user wants Chinese or English article illustrations, blog figures, explainer visuals, social/article images, or concept images where a small paper person should physically perform the core idea. Especially useful for turning abstract claims, emotions, cultural ideas, art criticism, product thinking, systems, workflows, tensions, boundaries, transformations, relationships, and evidence into clear high-angle paper-model scenes, as single figures or chained multi-image series. Do not use for generic mascots, cute stickers, Xiaohei-style black figures, stock PPT infographics, or image requests where no action character helps comprehension.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 107
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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